Job Description
We are at the precipice of a technological revolution. Nexus Horizon Systems is seeking a visionary Senior AI Systems Engineer to architect the infrastructure of tomorrow. As we prepare for the 2026 global rollout of our next-generation cognitive computing platform, you will be responsible for designing scalable, resilient, and intelligent systems that define the future of human-computer interaction.
In this role, you will bridge the gap between cutting-edge research and production-grade engineering. You will lead a team of elite engineers in deploying large-scale neural networks, optimizing deep learning frameworks, and ensuring our AI systems remain secure and efficient at the edge. If you are passionate about building the future of AI and want to be part of a team that sets the standard for the decade ahead, we want to meet you.
Responsibilities
- Architect the 2026 Roadmap: Design and implement the core infrastructure for our upcoming generative AI ecosystem, ensuring scalability and low-latency performance.
- System Optimization: Deep dive into model inference optimization, utilizing techniques like quantization, pruning, and distributed training to reduce compute costs by 40%.
- Edge AI Deployment: Lead the transition of complex AI models from cloud to edge devices, ensuring robust performance in real-time, high-bandwidth environments.
- Research Integration: Translate theoretical advancements in AGI and Natural Language Processing into deployable, production-ready code.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence within the engineering department.
- Security & Compliance: Implement rigorous security protocols to protect sensitive data and ensure compliance with evolving AI regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of experience in systems engineering, with at least 2 years focused specifically on Machine Learning infrastructure.
- Core Skills: Proficiency in Python, C++, and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Cloud Expertise: Strong experience with cloud-native architecture (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Future-Forward Mindset: Demonstrated ability to anticipate industry trends and adapt technical strategies to meet 2026+ requirements.
- Problem Solving: Exceptional analytical skills with a track record of solving complex, multi-dimensional engineering problems.